Multi-document multilingual summarization corpus preparation, part 2: Czech, Hebrew and Spanish

Michael Elhadad; Sabino Miranda-Jiménez; Josef Steinberger; George Giannakopoulos

Multi-document multilingual summarization corpus preparation, part 2: Czech, Hebrew and Spanish

Michael Elhadad, Sabino Miranda-Jiménez, Josef Steinberger, George Giannakopoulos

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This document overviews the strategy, effort and aftermath of the MultiLing 2013 multilingual summarization data collection. We describe how the Data Contributors of MultiLing collected and generated a multilingual multi-document summarization corpus on 10 different languages: Arabic, Chinese, Czech, English, French, Greek, Hebrew, Hindi, Romanian and Spanish. We discuss the rationale behind the main decisions of the collection, the methodology used to generate the multilingual corpus, as well as challenges and problems faced per language. This paper overviews the work on Czech, Hebrew and Spanish languages.

Original language	English
Title of host publication	Proceedings of the MultiLing 2013 Workshop on Multilingual Multi-document Summarization
Publisher	Association for Computational Linguistics (ACL)
Pages	13-19
Number of pages	7
State	Published - Aug 2013

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@inproceedings{edb584b346ec4e15b3133c48b23d8027,

title = "Multi-document multilingual summarization corpus preparation, part 2: Czech, Hebrew and Spanish",

abstract = "This document overviews the strategy, effort and aftermath of the MultiLing 2013 multilingual summarization data collection. We describe how the Data Contributors of MultiLing collected and generated a multilingual multi-document summarization corpus on 10 different languages: Arabic, Chinese, Czech, English, French, Greek, Hebrew, Hindi, Romanian and Spanish. We discuss the rationale behind the main decisions of the collection, the methodology used to generate the multilingual corpus, as well as challenges and problems faced per language. This paper overviews the work on Czech, Hebrew and Spanish languages.",

author = "Michael Elhadad and Sabino Miranda-Jim{\'e}nez and Josef Steinberger and George Giannakopoulos",

year = "2013",

month = aug,

language = "English",

pages = "13--19",

booktitle = "Proceedings of the MultiLing 2013 Workshop on Multilingual Multi-document Summarization",

publisher = "Association for Computational Linguistics (ACL)",

address = "United States",

}

Multi-document multilingual summarization corpus preparation, part 2: Czech, Hebrew and Spanish. / Elhadad, Michael; Miranda-Jiménez, Sabino; Steinberger, Josef et al.
Proceedings of the MultiLing 2013 Workshop on Multilingual Multi-document Summarization. Association for Computational Linguistics (ACL), 2013. p. 13-19.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multi-document multilingual summarization corpus preparation, part 2

T2 - Czech, Hebrew and Spanish

AU - Elhadad, Michael

AU - Miranda-Jiménez, Sabino

AU - Steinberger, Josef

AU - Giannakopoulos, George

PY - 2013/8

Y1 - 2013/8

N2 - This document overviews the strategy, effort and aftermath of the MultiLing 2013 multilingual summarization data collection. We describe how the Data Contributors of MultiLing collected and generated a multilingual multi-document summarization corpus on 10 different languages: Arabic, Chinese, Czech, English, French, Greek, Hebrew, Hindi, Romanian and Spanish. We discuss the rationale behind the main decisions of the collection, the methodology used to generate the multilingual corpus, as well as challenges and problems faced per language. This paper overviews the work on Czech, Hebrew and Spanish languages.

AB - This document overviews the strategy, effort and aftermath of the MultiLing 2013 multilingual summarization data collection. We describe how the Data Contributors of MultiLing collected and generated a multilingual multi-document summarization corpus on 10 different languages: Arabic, Chinese, Czech, English, French, Greek, Hebrew, Hindi, Romanian and Spanish. We discuss the rationale behind the main decisions of the collection, the methodology used to generate the multilingual corpus, as well as challenges and problems faced per language. This paper overviews the work on Czech, Hebrew and Spanish languages.

M3 - Conference contribution

SP - 13

EP - 19

BT - Proceedings of the MultiLing 2013 Workshop on Multilingual Multi-document Summarization

PB - Association for Computational Linguistics (ACL)

ER -

Multi-document multilingual summarization corpus preparation, part 2: Czech, Hebrew and Spanish

Abstract

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